Analytics teams often struggle choosing between the traditional sequential but inflexible Waterfall methodology and a newer iterative framework, called Agile, which has made a lot of in-roads in analytics teams as it is more adaptable to changes.
Category: Analytics
Hiring and Retaining Scarse Analytics Talent
Promising data-minded individuals are easy to spot from the distance: curious detailed-oriented thinkers, energized by uncertainty, open to opposed opinions … More
7 Steps to Build a Data-Driven Culture in your Organization
A data-driven culture does not happen overnight. Very deliberate & tangible steps need to be taken to foster a data-oriented … More
Can Artificial Intelligence replace Data Scientists?
Steve Urkel from the world-famous ABC’s sitcom Family Matters was not a Data Scientist because in the 90’s we did … More
Engines of Insight: How leading CDOs deliver top and bottom line results
It is an honor and a privilege that my colleague Dr. Keeratpal Singh and myself are quoted by MIT Technology … More
100 Day Plan for a new Chief Data Analytics Officer
…So you finally managed to get the sexiest job in your company but have no clue about how to even … More
5 Principles for Big Data Ethics
Big data analytics raises a number of ethical issues, especially as companies begin monetizing their data externally for purposes different … More
Data-Driven Culture & the Reptilian Brain
This is the second article of a series of four and focuses on data-driven culture: the reptilian brain. Download pdf … More
Organizing Analytics like the Human Brain
This is the first article of a series of four and focuses on analytics organization. Artificial Intelligence (A.I.) is … More
What a CEO needs to know about Machine Learning algorithms
During my first project in McKinsey in 2011, I served the CEO of a bank regarding his small business strategy. I wanted … More
